Re-Vision: Spectacles for the Visually Challenged
Vraj Baxi1, Justin Patel2, Vaibhavi Lakhani3, Priyang Bhatt4
1Vraj Baxi, Department of Computer, G H Patel College of Engineering and Technology, Anand, India.
2Justin Patel, Department of Computer, G H Patel College of Engineering and Technology, Anand, India.
3Vaibhavi Lakhani, Department of Computer, G H Patel College of Engineering and Technology, Anand, India.
4Priyang Bhatt, Department of Computer, G H Patel College of Engineering and Technology, Anand, India.
Manuscript received on 25 April 2020 | Revised Manuscript received on 07 May 2020 | Manuscript Published on 22 May 2020 | PP: 30-37 | Volume-9 Issue-7S July 2020 | Retrieval Number: 100.1/ijitee.G10090597S20 | DOI: 10.35940/ijitee.G1009.0597S20
Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The primary issue faced by all types of visually challenged people around the globe is their self-independence. They feel dependent on every task they want to perform in their daily lives and this acts as an obstacle to the exciting things which they would otherwise want to do. This paper proposes a solution in the form of wearable smart spectacles which works on the Raspberry Pi Platform for making the visually challenged people self-sufficient and move freely in their known as well as unknown surroundings. This smart Spectacle uses a USB (Universal Serial Bus) camera and detects real-time objects in the vicinity using the SSD-MobileNets object detection algorithm and provides vision in the form of audio through the use of Headphones. The Smart Spectacles also combines the use of the OCR algorithm for Text Detection and proposes the module for quick and accurate detection of currency by the visually challenged.
Keywords: Smart Spectacles, Object Detectin, Text Detection, Currency Detection.
Scope of the Article: Vision and Speech Perception